Generative AI & Machine Learning Engineer
Skills
About This Role
Overview
Design, build, and deploy machine learning and Generative AI solutions within scalable, customer-facing applications.
Work with large language models, embeddings, and RAG architectures to develop intelligent systems.
Collaborate with product, engineering, and business teams to translate requirements into technical solutions.
Develop and maintain high-quality, testable code and contribute to shared ML frameworks and libraries.
Monitor, evaluate, and continuously optimise models based on production performance and user feedback.
Integrate AI capabilities through APIs and ensure seamless interaction with existing platforms.
Apply strong analytical and problem-solving skills to tackle complex machine learning challenges.
Stay up to date with emerging AI trends and contribute to continuous improvement across the team.
Requirements
2+ years of experience in machine learning, AI engineering, or data science roles.
Hands-on experience working with large language models, including RAG, embeddings, and fine-tuning techniques.
Experience
using modern AI frameworks and tools such as LangChain or similar ecosystems.
Strong programming skills in Python and SQL, with solid software engineering fundamentals.
Experience
integrating APIs and building scalable, production-ready systems.
Understanding of data structures, data modelling, and system design principles.
Experience
applying machine learning to real-world problems and analysing performance in production.
Strong communication skills and ability to work collaboratively in cross-functional teams.
Preferred experience:
Experience
working with cloud platforms such as AWS or Azure
Exposure to distributed systems, deep learning, or NLP applications
Experience
working in fast-paced or startup environments
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